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Vetted Stakeholder Communication Professionals
Pre-screened and vetted.
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML services
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Mid-level Fuel Cell Engineer specializing in hydrogen systems and AI automation
Mid-level Graphic Designer specializing in brand, presentation, and digital production design
Mid-level AI/ML Engineer and Developer Educator specializing in GenAI, RAG, and AI community building
Senior Data Scientist specializing in Generative AI, NLP, and MLOps
Mid-level AI Backend Engineer specializing in LLM applications and scalable ML systems
Salaama Milligan
Executive Operations & Program Management Leader specializing in global transformation
“Operations/PMO leader across IPG Mediabrands, Kinesso, and IPG Corporate with deep experience building executive governance systems and cross-functional operating rhythms. Led high-visibility transformations including a $36M global rebrand and created data-backed dashboards/cadences that improved efficiency (10–20%) and executive alignment, including oversight of a 175M monthly media spend analysis.”
Jeffrey Kim
Mid-level FP&A and restructuring finance professional specializing in liquidity and forecasting
“Restructuring and deal-origination professional with FTI experience who applies distressed-investing rigor to founder sourcing and early-stage evaluation. Stands out for turning signal-based outbound into real opportunities, including sourcing and nurturing the Spirit Airlines relationship over roughly two years into one of the firm's largest bankruptcy engagements, while also bringing venture studio exposure to early consumer concept testing.”
Khaliun Gerel
Senior Full-Stack Engineer specializing in cloud, web, and mobile platforms
“Full-stack product engineer who has owned end-to-end delivery of multi-client platforms: Finy (agriculture platform with 3 role-based web dashboards plus 2 field mobile apps) and Ugoku (Japanese studio platform with React/TypeScript dashboards, Node/Mongo backend, and mobile AR video playback). Strong in scalable architecture and performance—offline-first mobile for low connectivity, and AWS-based asynchronous video/AR processing with S3/CloudFront—plus building internal ops tools adopted quickly due to measurable workflow improvements.”
Osaze Edo-Osagie
Senior Frontend/Full-Stack Engineer specializing in React and TypeScript
“Frontend engineer from Meltwater who led delivery of a universal post details modal used across multiple apps, integrating three different frontend frameworks (Vue, React, StencilJS) into a plug-and-play StencilJS feature. Built scalable, reusable UI components and even helped create an internal CSS library/design system, with a strong focus on performance optimization and reliable QA-driven rollouts.”
Joseph Diele
Executive Quality & Operations Leader specializing in transformational change and continuous improvement
“Operations-focused startup builder who creates “enterprise-ready” maturity through reliability testing systems, data collection, and customer-facing quarterly reviews. Has a process-first approach (document → automate → scale), including automating manufacturing testing and moving it to a contract manufacturer. Experienced mentoring founders/executives using GQM and improving leadership effectiveness through targeted coaching and role redesign.”
Kathy Gagne
Executive Leadership Advisor specializing in organizational design, culture transformation, and board coaching
“Operations and organizational effectiveness advisor who builds scalable playbooks and maturity-based operating frameworks for growing organizations, including investment portfolio companies. Has led change and regulatory adoption work in a large financial institution and coached a rapidly scaling fintech founder/exec team to improve trust, delegation, and decision-making.”
Varaprasad Bathula
Intern AI/ML Engineer specializing in LLM applications and data infrastructure
“Hands-on LLM practitioner who built a production document-processing pipeline in Python, tackling long-document handling and latency with chunking/batching and a user-driven correction feedback loop. Experienced operationalizing AI workflows with Kubernetes (CronJobs, autoscaling, scheduled data cleaning and weekly retraining) and applying structured testing/evaluation (E2E, LLM-as-judge, HITL) while communicating solutions clearly to non-technical clients using visual diagrams.”
Jenny Cheng
Junior Full-Stack/ML Engineer specializing in LLM applications and cloud deployment
“Full-stack developer with capstone and project experience delivering production-ready systems in unstructured environments, including a Faculty Tracking system for real departmental use. Strong in React performance debugging (re-render optimization with useMemo), Prisma-backed multi-database setups (MySQL local / SQL Server production on a UCI Health VM), and end-user support workflows that feed back into improved Help documentation.”
Jasveen Kaur
Senior Technical Program Manager specializing in AI automation and analytics
“Recruiting/Talent Operations leader with deep Lever ATS and analytics experience who led a high-impact Grace Hopper Conference program, creating attribution tracking via unique links and coordinating IT/engineering/TA to drive thousands of applicants and improved operational outcomes. Redesigned recruiter–hiring manager intake and alignment workflows with automation, improving time-to-fill by ~20%, and led compliance initiatives including pay transparency and ADA-accessible job descriptions using CommonLook/PAC in partnership with Legal and Compensation.”
“Built and deployed a production RAG-based LLM Q&A and summarization platform for internal documents, emphasizing grounded answers with structured prompting and citations to reduce hallucinations. Experienced orchestrating end-to-end LLM workflows with LangChain plus cloud pipelines (Azure ML Pipelines, AWS), and runs iterative evaluation using both metrics (accuracy/hallucination/latency/cost) and real user feedback to drive reliability.”
Shankar Koduvayur Ramaswami
Mid-level Machine Learning Engineer specializing in industrial deep learning and predictive control
“AI engineer building and deploying deep-learning-based optimization/control systems for petrochemical plants, with a focus on maintaining operational stability under real-world constraints. Core contributor to model and inference design; introduced a stability-focused non-linear objective and sped up second-layer optimization via on-the-fly first-order approximations. Experienced using Kubernetes for end-to-end testing and effective in translating customer expectations into measurable evaluation plots for non-technical stakeholders.”
Monica Bernal
Director-level Creative Services & Operations leader specializing in global advertising and leadership programs
“Operations/program leader who ran the global IRG100 Leadership Program, coordinating cross-functional workstreams and major partners (WPP, Google, Ipsos, TCS) using centralized roadmaps and executive cadences; delivered increased enrollment and a 4.8/5 satisfaction score. Previously managed strategic and day-to-day production operations for major multi-country sports campaigns at DIRECTV Panamericana (FIFA World Cup, Olympics, NBA), building pipelines, budgets, and vendor relationships across Latin America.”